{"id":"https://openalex.org/W4294672880","doi":"https://doi.org/10.1109/rcar54675.2022.9872270","title":"Highly-Robust Feature Detection Method in Shape-Coded Structured Light Based on End-to-End Deep Neural Network","display_name":"Highly-Robust Feature Detection Method in Shape-Coded Structured Light Based on End-to-End Deep Neural Network","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4294672880","doi":"https://doi.org/10.1109/rcar54675.2022.9872270"},"language":"en","primary_location":{"id":"doi:10.1109/rcar54675.2022.9872270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872270","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100769232","display_name":"Sicheng Wang","orcid":"https://orcid.org/0000-0002-6423-7029"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sicheng Wang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055","Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China","School of Mechatronic Engineering, Xi'an Technological University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Mechatronic Engineering, Xi'an Technological University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037688227","display_name":"Zhan Song","orcid":"https://orcid.org/0000-0003-3585-6522"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Song","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082187374","display_name":"Hubing Du","orcid":"https://orcid.org/0000-0001-5460-6807"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hubing Du","raw_affiliation_strings":["Xi&#x2019;an Technological University,School of Mechatronic Engineering,Xi&#x2019;an,Shaanxi,China,710032"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Technological University,School of Mechatronic Engineering,Xi&#x2019;an,Shaanxi,China,710032","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087165804","display_name":"Feifei Gu","orcid":"https://orcid.org/0000-0003-4245-1494"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Gu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055","Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100769232"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110558","https://openalex.org/I4210136793","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.2408,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58042207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8234133124351501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7554059028625488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410019636154175},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7264796495437622},{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.6905580759048462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.635148823261261},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5631963610649109},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5441431403160095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5083021521568298},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47219929099082947},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4528655409812927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15739646553993225}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8234133124351501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7554059028625488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410019636154175},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7264796495437622},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.6905580759048462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.635148823261261},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5631963610649109},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5441431403160095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5083021521568298},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47219929099082947},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4528655409812927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15739646553993225},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar54675.2022.9872270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872270","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1758575531","https://openalex.org/W1901129140","https://openalex.org/W1939355338","https://openalex.org/W2024987343","https://openalex.org/W2035464869","https://openalex.org/W2096720461","https://openalex.org/W2110764733","https://openalex.org/W2221221697","https://openalex.org/W2473580747","https://openalex.org/W2519267527","https://openalex.org/W2569035071","https://openalex.org/W2610272310","https://openalex.org/W2736556587","https://openalex.org/W2773967988","https://openalex.org/W2792570807","https://openalex.org/W2920684509","https://openalex.org/W3096827426","https://openalex.org/W3103179952","https://openalex.org/W3137101056","https://openalex.org/W3175536088"],"related_works":["https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W2109974539","https://openalex.org/W2738084969","https://openalex.org/W1999222583","https://openalex.org/W1602592726","https://openalex.org/W2546942002","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W3197541072"],"abstract_inverted_index":{"Shape-coded":[0],"structured":[1,14,54,131],"light":[2,55,132],"is":[3,30],"one":[4],"of":[5,13,66,89,100,107,127],"the":[6,11,47,74,79,87,90,98,101,125,144],"most":[7],"important":[8],"technologies":[9],"in":[10,22,27,124,147],"field":[12],"light.":[15],"However,":[16],"due":[17],"to":[18,85,96],"its":[19,25],"poor":[20],"robustness":[21,150],"feature":[23,42,76,92,120],"extraction,":[24],"application":[26],"practical":[28],"scenes":[29],"greatly":[31],"limited.":[32],"To":[33],"solve":[34],"this":[35,37],"problem,":[36],"paper":[38],"developed":[39],"a":[40,52,64,104],"highly-robust":[41],"extraction":[43],"method":[44,117,139,146],"based":[45],"on":[46],"deep":[48],"learning":[49],"method.":[50],"First,":[51],"shape-coded":[53],"pattern":[56,133],"was":[57,83],"designed.":[58],"The":[59],"grid":[60,91],"points":[61],"formed":[62],"by":[63],"series":[65],"horizontal":[67],"and":[68,151],"vertical":[69],"lines":[70],"were":[71,109],"designated":[72],"as":[73],"coding":[75,136],"points.":[77,93],"Then,":[78],"famous":[80],"U-net":[81],"network":[82],"utilized":[84],"detect":[86],"location":[88],"At":[94],"last,":[95],"varify":[97],"effectiveness":[99],"proposed":[102],"method,":[103,122],"large":[105],"number":[106],"experiments":[108],"carried":[110],"out.":[111],"Experimental":[112],"results":[113],"showed":[114],"that":[115],"our":[116,138],"outperforms":[118],"traditional":[119,145],"detection":[121,149,152],"especially":[123],"case":[126],"noise":[128],"interference.":[129],"For":[130],"with":[134],"higher":[135],"density,":[137],"performs":[140],"much":[141],"better":[142],"than":[143],"both":[148],"accuracy.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
